A novel variational method for liver segmentation based on statistical shape model prior and enforced local statistical feature

• Published in: Proceedings (International Symposium on Biomedical Imaging) pp. 261 - 264
• Main Authors: Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Hongsuo Zhang, Hengxin Chen, Yi Wang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2017
• Subjects: Computational modeling; Image segmentation; Liver; Liver segmentation; Minimization; Pathology; PCA; Shape; statistical feature; Statistical shape model; Training; Variational method

Medical image segmentation plays an important role in digital medical research, therapy planning, and computer aided diagnosis. However, the existence of noise and low contrast make automatic liver segmentation remains an open challenge. In this work we focus on a novel variational semi-automatic li...